- Data Pipelines
- Shell Script
- Data Integration
- Data Migration
- Apache Airflow
- Data Mart
- Data Processing
- Performance Tuning
- Web Scraping
- Data Warehousing
- Command-Line Interface
- Data Transformation
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Ouail LAAMIRI
February 7, 2024
17 hours (approximately)
Ouail LAAMIRI's account is verified. Coursera certifies their successful completion of ETL and Data Pipelines with Shell, Airflow and Kafka
What you will learn
Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes.
Explain batch vs concurrent modes of execution.
Implement ETL workflow through bash and Python functions.
Describe data pipeline components, processes, tools, and technologies.
Skills you will gain
